Top 7 Data & AI Trends in 2022

Although AI technology is not new, it’s beginning to have a significant impact as businesses realize the potential and the possibilities new Data & AI trends offer. With AI today, companies can transform and create new opportunities in almost every industry.

“If you want to think of a new thing, the new thing that is going to be most attractive is going to be something that you can do with scaled AI,” said Whit Andrews, vice president, and an analyst at Gartner Research. However, not many know that behind the magic of scaled AI is a significant amount of data being processed and labeled. Therefore, it’s imperative that companies realize their data needs to be in order before they see what scaled AI is capable of. 

Now, in 2022, we see AI trends emerging, promising scalability to any business, regardless of size, type or industry. So what are those AI technology trends, and how can they impact companies and their digital transformation efforts? Let’s find out!

#1 Large Language Models

Language Models are AI models that rely on machine learning to, in simple terms, learn how to speak our language. These models determine how sentences, phrases, or even paragraphs are related by processing a considerable amount of text and building a model. That model understands how we, as humans, use language and copies our semantic techniques to output a more human-like interaction.

AI language models have come a long way from being fine-tuned by us. Today, your AI can learn and solve a new problem in only a few training examples. In the business world, this means that the cost of artificial intelligence is now reduced, and it’s easier and more affordable to automate many business processes.

#2 Natural Language Processing

Not only is AI able to copy our way of communicating, but it’s also able to understand what we are saying. NLP or natural language processing is the “ability for a computer to understand the meaning of text or speech.” Do the names Siri, Alexa, and Cortana sound familiar? That’s precisely what NLP does- it creates technologies that can understand what people say and then make appropriate actions and give the right responses. Now just think about all the ways one company’s internal NLP-based AI can assist all employees and scale business operations.

Not only is AI able to copy our way of communicating, but it’s also able to understand what we are

#3 Generative Artificial Intelligence

We can consider Generative AI to be a whole different branch of AI, like that one cousin we all have that’s exceptionally good at arts. As the name says, Generative AI generates content like images, converts text to images, makes music, and writes the text. It is a strategic AI technology for 2022 , according to Gartner. And while making music and generating images doesn’t sound like important work for any business, think about the application Generative AI can have in marketing. To be able to generate human-like grammatically correct text relevant to the topic and give it a compelling visual with only AI can easily change the flow of the digital marketing industry.

#4 Reinforcement Learning

Do you need a way to successfully use AI in robotics, games, data science, and finance? Then you need artificial intelligence focused on decision-making and reward-based training. Reinforcement learning is the keyword here since this branch of AI learns from the environment and then adjusts its behavior to maximize rewards. In other words- it goes by the ‘trial and error’ principle, learns from its mistakes, and does better the next time. Just like humans do!

Only AI won’t fall into the trap of making the same mistake again. If Reinforcement AI comes across a situation it has already “learned,” it will always pick the best outcome and the one that achieves its goals. It’s easy to understand why business owners are most excited about this AI trend seeing the possibilities it can have in boosting any business.

#5 Multimodal Learning

Multimodal learning helps the system learn more about our world, extracting the data needed from images, text, speech, sound, and video. Things we, as humans, instinctively know because of a little thing called commonsense. 

“Common sense is the dark matter of artificial intelligence,” said Oren Etzioni, CEO of the Allen Institute for AI, when talking about AI having zero common sense. And until now, AI didn’t know how to grow its own common sense in the same way we humans – through a combination of visual, linguistic, and sensory cues.

Enter Multimodal AI systems. Finally, artificial intelligence can address the lack of commonsense knowledge with these types of systems. For example, the concept of apple for AI includes vision-related information- color, shape, size, and sometimes even texture. But Multimodal AI systems will be able to know that green apples are also more bitter than red apples, that apples can be used to make apple pie, and the reason why apples are considered a sign of appreciation. So, in short, Multimodal AI systems can ”see the bigger picture”.In business, multimodal AI systems can serve as a good tool in digital marketing by recognizing the images and generating automatic descriptions or detecting false news by verifying, understanding, and cross-referencing one text with billions of others. 

#6 AI Virtual Reality

The dawn of the virtual world is rising, and it’s all thanks to AI technology. The creation of an online environment is no longer a science-fiction thing but is almost guaranteed in the near future. At the core of virtual and augmented reality are different branches of AI technology trying to solve problems like creating realistic holograms to shape the virtual world. There are many benefits to Data & AI for a business, and Virtual Reality trend is probably the most exciting way to explore most of those benefits.

Data & AI trends metaverse, VR, AR

“Only recently, with the emerging machine intelligence innovations, have we had access to the powerful tools and capabilities to make use of the advances in computer technology,” said Yifan Peng, a researcher at Stanford Computational Imaging Lab.

It goes without saying that pairing AI technology with some of the most popular software development trends like AR and VR can open a whole new world of possibilities for companies. The ways businesses connect and interact with their users can change completely, and those businesses that try it first now will also be first on top.

#7 Computer Vision Technology

A recent Gartner poll showed that companies worldwide are expected to spend more than $670,000 over the next two years just to get their hands on machine vision technology.

This type of AI enables machines to interpret pictures and videos, with algorithms capable of identifying and categorizing items. It’s primarily used in self-driving vehicles, healthcare, manufacturing, farming, and agriculture.

Data & AI trend computer vision self-driving vehicles

Automated Artificial Intelligence tools will be a way for many businesses to overcome the skill shortage and cut costs. Unfortunately, data scientists are few and far between, and not every company can afford to hire one. So, to generate value from their data, many businesses will use AI-powered tools to analyze data streams, generate ML models and find actionable insights. This will help companies increase revenues, enhance operations and optimize their costs.

How Data & AI Will Shape Business Growth In 2022

As we near the end of 2022, we can say that this year was where companies learned about the power of AI and how to leverage data & AI to spur business growth. Many reports show that implementing Data & AI in certain industries, even if you automate a portion of your daily business processes, can result in a staggering revenue increase. The development of digital services was the primary strategy for surviving the pandemic, but now business’ digital transformation is playing offense with AI-powered solutions. 

Many companies have already made investments in AI innovations that are developing and refining at an incredible speed, already creating trends and changing industries. Read on and see how Data & AI shaped business growth in 2022.

  • HOLISTIC PLATFORMS REIGN

Most businesses have collected data to solve a specific problem in the past. However, 2021 marked the year of consolidations through acquisitions and mergers, which will continue in 2022. Therefore, if enterprises use point solutions, it can lead to conflicting information across all departments.
Machine learning and AI are the way to create holistic DEA (Digital Experience Analytics) solutions that will analyze a large amount of customer data and give a more comprehensive picture of user experience, thus impact organizational efficiency.

  • DATA DEMOCRATIZATION

With a shift to a data-driven decision-making mindset in most companies, the data collected needed to be accessible to more people. So, in 2022, data will be democratized within an organization, with leaders and departments able to access data, increasing transparency.

The focus on data will lead to a greater need for AI-powered tools, with a particular emphasis on the quality of data and data tracking.

  • PRIVACY CHANGES

Many businesses have already adopted Responsible AI solutions, but not all. With the new government rules and regulations regarding data collection and privacy, companies will have to balance being compliant and giving their users control over their data. 

In 2022 companies will have to find a way to accommodate the regulations and their customers’ desire to be able to control how their data is being used while still having a hyper-personal digital platform experience. Responsible AI solutions are, at the moment, a perfect tool that allows for both and further helps companies make fairness and transparency become consistent practices.

  • DATA & AI IT TALENT

Businesses that want to implement automation to increase productivity need to know that automation can be overwhelming. Leaders should start small in order to scale efforts successfully but to do that, they need great data IT talent.
Due to a talent shortage and Data specialists, having an in-house data scientist is no easy feat. The solutions come in the shape of companies that offer services of creating AI solutions tailored for each business.

  • SAFER ROADS

There’s a theory that AI is replacing humans and, one day, we will perish because of it, but no one is talking about the dark side of human beings and how AI can help us make this world safer from….well, us. For example, safer from an individual’s uncontrollable desire to operate a vehicle while under the influence. Or perhaps safer from the misfortune of having a drowsy truck driver falling asleep at the wheel because the economic situation caused him to take on more working hours.

These are all possible scenarios happening daily worldwide, often ending up terribly and counting many fatalities. But AI technology can help us, humans, stop taking unnecessary risks by taking a ride with us and keeping us safe. 

Data & AI road safety analysis

AI-enabled cameras and sensors built into commercial or personal vehicles can prevent a person from drunk driving by measuring moisture content on the drivers’ hands via sensors located on the wheel. AI can also save drivers from carbon-monoxide poisoning by gaining data through an air quality monitoring system and executing an automated window opening. Such AI-powered systems are needed in order to make professions like trucking safer and more appealing, which would be a great way of solving the current driver shortage.

Implement the Latest Data & AI trends with Quantox Technology!

Connect with some of the best Data & AI specialists in the IT industry here at Quantox Technology – a place where AI innovations are born! From computer vision to natural language processing, we use cutting-edge technology to build reliable AI applications tailored to your industry and a way to scale your business and boost revenue. Want to implement AI in your business? Let’s Talk!